摘要词典是许多中文分词系统的一个重要的组成部分。
Abstract the dictionary mechanism serves as one of the important components in a lot of Chinese word segmentation systems.
论文介绍了一个基于词频统计的中文分词系统的设计和实现。
The paper introduces the design and implementation of Chinese word segmentation system, which is based on statistic the frequency of the word.
基于理解的分词方法研究尚未成熟，所以，绝大部分中文分词系统是应用机械统计相结合的方法。
Because the last direction is not mature, most systems adopt the strategy which contains dictionary and statistics.
实验结果显示选取适当的特征数目、使用好的分词技术、使用命名实体识别技术都能改进中文话题追踪系统的性能。
The experimental result shows that the tracking performance will be improved by selecting proper features, using word segmentation system and using named entity recognition system.
本文系统地介绍了中文分词技术和模式匹配理论，依据他们的理论算法设计出解决地址数据匹配整合流程体系的方法。
The article introduces the Chinese partition technology and the pattern matching theory, designs a solution for address data matching and conformity way in systematic flow according to the arithmetic.
文章首先构造了自动答疑系统架构，改进了中文分词算法，并利用领域本体库和语句相似度设计了该系统。
In this paper, we first construct the system architecture, improve the Chinese text segmentation algorithm, then, by making use of domain ontology base and sentence similarity, design the system.
本文分析了现有分词解决方案的优势和不足，提出一种基于机器学习的中文分词方法，并实现了机器学习分词模型系统。
A Chinese word segmentation based on machine learning is presented in the paper and the machine learning model system is realized after analyzing the traditional method.
它是中文智能答疑系统的一项基本性技术，可以说，没有分词技术任何中文答疑系统都不具有智能性。
This paper mostly researches Chinese word segmentation, because it is a basal place in intelligent answering system.
对于基于词的搜索引擎等中文处理系统，分词速度要求较高。
The speed of Chinese word segmentation is very important for many Chinese NLP systems, such as web search engines based on words.
文中论述了在开发中文信息检索系统中所涉及到的两项关键技术，即中文分词技术和检索技术。
Two key techniques in the development of Chinese Information Retrieval System are discussed in this paper, i. e., Chinese word segmentation and search technique.
文中论述了在开发中文信息检索系统中所涉及到的两项关键技术，即中文分词技术和检索技术。
Two key techniques in the development of Chinese Information Retrieval System are discussed in this paper, i. e., Chinese word segmentation and search technique.
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